[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Bromhal et al., 2022 - Google Patents

The SMART Initiative: Applying Machine Learning to Enable Efficient and Effective Real-Time Decisions for Geological Carbon Storage Operations

Bromhal et al., 2022

View PDF
Document ID
10161646152387303936
Author
Bromhal G
Mishra S
Guthrie G
Alumbaugh D
Crandall D
White J
Williams-Stroud S
Azzolina N
McGuire T
Pawar R
Schuetter J
Morris J
Butler S
Viswanathan H
Carr T
Publication year
Publication venue
16th International Conference on Greenhouse Gas Control Technologies GHGT-16

External Links

Snippet

This paper provides an overview of the SMART Initiative–Science-Informed Machine Learning for Accelerating Real-Time Decisions in Subsurface Applications–that seeks to transform our interactions within and understanding of the subsurface, and significantly …
Continue reading at papers.ssrn.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0631—Resource planning, allocation or scheduling for a business operation
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0637—Strategic management or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/105—Human resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V99/00—Subject matter not provided for in other groups of this subclass
    • G01V99/005—Geomodels or geomodelling, not related to particular measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/282—Application of seismic models, synthetic seismograms

Similar Documents

Publication Publication Date Title
Sircar et al. Application of machine learning and artificial intelligence in oil and gas industry
Ng et al. Smart proxy modeling of a fractured reservoir model for production optimization: implementation of metaheuristic algorithm and probabilistic application
Coutinho et al. Physics-aware deep-learning-based proxy reservoir simulation model equipped with state and well output prediction
AU2017382546A1 (en) Subsurface modeler workflow and tool
US12012826B2 (en) Field development planning based on deep reinforcement learning
Mudunuru et al. Physics-informed machine learning for real-time unconventional reservoir management
US20220082719A1 (en) Reservoir performance system
Sankaran et al. Data analytics in reservoir engineering
Gross et al. A physics-informed machine learning workflow to forecast production in a fractured Marcellus shale reservoir
Prochnow et al. A subsurface machine learning approach at hydrocarbon production recovery & resource estimates for unconventional reservoir systems: Making subsurface predictions from multimensional data analysis
WO2016187238A1 (en) Auto-validating earth interpretation and modeling system
Bromhal et al. The SMART Initiative: Applying Machine Learning to Enable Efficient and Effective Real-Time Decisions for Geological Carbon Storage Operations
Krantz et al. Subsurface structural interpretation: The significance of 3-D structural frameworks
Szklarz et al. Geothermal field development optimization under geomechanical constraints and geological uncertainty: Application to a reservoir with stacked formations
Mishra Machine learning applications in subsurface energy resource management: state of the art and future prognosis
RU2477528C2 (en) Interactive automated training system
Lackey et al. Rules and Tools Crosswalk: A Compendium of Computational Tools to Support Geologic Carbon Storage Environmentally Protective UIC Class VI Permitting
Loomba et al. Application of risk-informed closed-loop field development workflow to elucidate the evolution of uncertainties
de Oliveira Silva et al. Methodology to estimate the value of flexibility under endogenous and exogenous uncertainties
Gutiérrez-Oribio et al. Robust Output Tracking for an Uncertain and Nonlinear 3D PDE-ODE System: Preventing Induced Seismicity in Underground Reservoirs
Zhao Subsurface Digital Twin and Emergence
RU107875U1 (en) INTERACTIVE AUTOMATED LEARNING SYSTEM
Kohshour Advancing Carbon Sequestration through Smart Proxy Modeling: Leveraging Domain Expertise and Machine Learning for Efficient Reservoir Simulation
Negash et al. Performance prediction of a reservoir under gas injection using Box-Jenkins model
Zhou et al. Efficient field development decisions driven by artificial intelligence: A Permian Basin example